在網路通訊時代，因移動裝置普遍和社群媒體蓬勃發展，促成了資訊豐富化的社交環境，促成網路社交多元性。當銀髮社會遇到資訊社會，銀髮族邁入退休階段、家庭空巢期、生理逐漸退化、社會角色變動、心理調適過程…等身心轉變時期，對網路數位環境的陌生，無所不在訊息接收的資訊社會，銀髮族從心理、生理反應性的角度來看，社會互動將導致社會焦慮的關鍵特徵。
由於銀髮族在前半生未曾或甚少接觸網路虛擬環境，原本熟悉的實際社交環境，卻不能運用於陌生的社群媒體氛圍，在使用LINE的過程中，可能因為個人的外向型人特質、線上社會焦慮、資訊超載…等因素，影響在LINE群組中的網路潛水行為；另外，線上社會焦慮、資訊超載與網路潛水行為之相關研究，大都集中在數位原民（1980年後出生）年輕族群為研究對象，很少聚焦在數位移民的銀髮族上，故引起研究者對此議題之研究動機。
基於上述研究動機，本研究目的為：
一、瞭解不同背景銀髮族在使用社群媒體LINE時，其外向型人格特質、線上社會焦慮、資訊超載與網路潛水行為之差異性
二、探討銀髮族在社群媒體LINE環境互動下，其線上社會焦慮、資訊超載與網路潛水行為之間互相影響程度。
本研究對象為台灣北部都會區(台北市、新北市、基隆市、桃園市)年滿55歲使用社群媒體LINE的銀髮族，其研究方法採取橫斷式、網路問卷調查法進行資料蒐集，收集334份有效樣本，採取描述性統計、獨立樣本t檢定、單因子變異數分析、迴歸分析、皮爾森積差相關分析…等方式進行量化研究、統計資料。得到下列研究發現：
一、銀髮族每天在LINE發布訊息量越多、擁有越多LINE群組數、越多LINE 好友數，其外向型人格特質越明顯。
二、銀髮族外向型人格特質越高，則線上社會焦慮與網路潛水行為就愈低。
三、銀髮族在LINE發布訊息量越少，線上社會焦慮越明顯；女性比男性之 線上社會焦慮高。
四、銀髮族的線上社會焦慮與資訊超載越明顯，其網路潛水行為越高。
五、銀髮族感知資訊超載越明顯時，其線上社會焦慮越高。
六、銀髮族的網路潛水行為，家庭管理者比高階主管者明顯，教育程度越低 者，則網路潛水行為越明顯。
七、銀髮族的外向型人格特質越明顯，其資訊超載越低。
八、銀髮族的網路潛水行為越明顯時，其線上社會焦慮程度越高。
九、銀髮族的資訊超載越高，網路潛水行為越明顯。
十、銀髮族的的線上社會焦慮越高，資訊超載越明顯。
十一、銀髮族的線上社會焦慮和資訊超載，能預測網路潛水行為。

In the era of Internet communication, the prevalence of mobile devices and the booming development of social media have contributed to an information-rich social environment and the diversity of online social life. When the elder society meets the information society, the elder are entering the retirement stage, family empty nesting period, physiological degeneration, social role changes, psychological adjustment process...and other physical and mental changes, and they are unfamiliar with the digital environment of the Internet.
Since elders had no or little contact with the online virtual environment in the first half of their lives, they were unable to use the familiar social environment in the unfamiliar social media atmosphere. In addition, studies on online social anxiety, information overload, and online lurking behavior have mostly focused on young digital natives (born after 1980), but rarely on elder digital immigrants (born before 1980), thus prompting to study this issue.
Based on the above motives, the objectives of this study were:
(1) To understand the differences in extraversion personality, online social anxiety, information overload, and online lurking behavior among the elders from different backgrounds when using social media LINE
(2) To explore the degree of interaction between online social anxiety, information overload, and online diving behavior among the elders in the social media LINE environment.

The subjects for this study were elders aged 55 years or older who used social media LINE in the northern metropolitan area of Taiwan (Taipei City, New Taipei City, Keelung City, and Taoyuan City). There were 334 valid samples collected, and the data were analyzed by means of descriptive statistics、Independent Sample t test、one-way analysis of variance、Regression analysis、Pearson Correlation analysis. The following findings were obtained:
1. The more messages elders post on LINE every day, the more LINE groups they have, and the more LINE friends they have, the more pronounced their extraversion personality traits are.
2. The higher the extraversion personality traits of elders have, the lower the online social anxiety and online lurking behaviors they have.
3. The lower the number of messages post on LINE, the more pronounced the online social anxiety of elders; the female have higher online social anxiety than the
male.
4. The more pronounced online social anxiety and information overload among elders, the higher their online lurking behavior.
5. The more information overload perceived by elders, the higher their online social anxiety.
6. Online lurking behavior of elders was more pronounced among housekeepers than senior managers, and the lower the education level, the more pronounced the online lurking behavior.
7. The extraversion personality trait of elders were more pronounced, the lower of overload information.
8. The more pronounced the online lurking behavior of elders, the higher their online social anxiety .
9. The higher the information overload of elders, the more pronounced their online lurking behavior is.
10. The higher the online social anxiety of elders, the more pronounced the information overload.
11. The online social anxiety and information overload of elders can predict their online lurking behavior.

參考文獻
壹、中文文獻
內政部(2020)。人口三段年齡組人數所推算資料(截至2020年6月資料)。 取自：https://web.moi.gov.tw/stat_chart/chart_full.aspx.
內政部戶政司全球資訊網(2022，04月10日)，人口統計資料，02 縣市人口數 按性別及年齡 (8909)。https://www.ris.gov.tw/app/portal/346
王建雅(2010)。八向度幽默風格量表之發展暨其與自尊、人格特質、依附風格關係之探討 (未出版之碩士論文)。臺灣師範大學，臺北市。
王瑀晴(2016)。大五人格特質，婚禮籌備涉入程度與幸福感之關係 (未出版之碩士論文)。東海大學，台中市。
江佩芹(2014)。社群網站中資訊超載的前因及結果之探討--以FACEBOOK為例 (未出版之碩士論文)。國立高雄應用科技大學，高雄市。
朱國明(2008)。以網路的資訊豐富環境與訊息框架探討網路購物行為之前因與後果模型研究。中華管理評論國際學報，11(4), 1-25。
李怡慧(2019)。類粉絲效應：網路負面口碑的抑制與弱化。組織與管理，12(2)，55-111。
李鬱薇(2005)。網路學習社群中的潛水現象，一種被忽略的充分參與 (未出版之碩士論文)。國立中央大學，桃園市。
李昱璋(2011)。考量資訊負荷之適性化自我學習工具：基於Web之概念圖設計(未出版之碩士論文)。國立暨南國際大學，南投縣。
李婷媛(2006)。研發機構工程師資訊行為及其在資訊服務應用之探討 (未出版之碩士論文)。國立臺灣大學，臺北市。
吳明隆(2008)。SPSS操作與問卷統計分析實務。臺北市：五南圖書。
吳明隆(2013)。SPSS統計應用學習實務：問卷分析應用統計。臺北市：易習。
吳偉立、李宜致、王妮可(2020)。社群媒體、歸屬感與社會焦慮對消費者體驗之影響-以社會參與為幹干擾變項。數據分析 Journal of Data Analysis，15(3), 1 – 26。
宋曉玫(2012)。以科技接受模式探討中高齡者使用網路即時通訊軟體之意圖與行為(未出版之碩士論文)。國立台灣師範大學，臺北市。
余淑吟(2019)。以PLS-SEM模式探討中高齡者在社群網路的使用強度與自我揭露對網路社會支持與自尊感的關係。國立臺灣科技大學人文社會學報，15(1)，1-29。
林佳慧(2007)。高齡者電腦經驗與其生活滿意度及電腦態度關係之研究 (未出版之碩士論文)。國立暨南國際大學，南投縣。
林宣辰(2015)。虛擬社群中知識分享行為對使用者之反饋 (未出版之碩士論文)。淡江大學，新北市。
林意文(2008)。知識社群網路潛水者潛水行為之探討 (未出版之碩士論文)。國立高雄第一科技大學，高雄市。
林慶達(2020)。樂齡族群的LINE使用行為分析。康健雜誌，2020高齡國際趨勢論壇：高齡大趨勢，取自：https://www.facebook.com/138654461200/videos/1894312947375960/
邱皓政(2017)。量化研究與統計分析：SPSS(PAWS)資料分析範例解析，修訂五版。臺北市：五南圖書。
洪千涵 (2019)。高齡者學習智慧手機資訊素養探討(未出版之碩士論文)。國立政治大學，台北市。
凃保民、黃月琴(2017)。行動即時通訊 (LINE) 與親師溝通-探究影響教師接受之正，負向影響因數。資訊社會研究，33, 115-146。
胡家欣(2000)。大學生的休閒認知，涉入與體驗－兼論人格特質的影響 (未出版之碩士論文)。高雄醫學大學，高雄市。
胡愈寧、林家婕、林佑昇(2018)。苗栗縣女性經營者ICT能力培成之研究。休閒研究，7(2)，35-54。
馬徐揚(2013)。人格特質與網路閒逛之研究：以真誠領導，薪資滿意及組織懲罰為調節變項 (未出版之碩士論文)。中原大學，桃園市。
國家發展委員會(2021)。重要統計資料手冊。國家發展委員會，臺北市。取自：https://www.ndc.gov.tw/Content_List.aspx?n=507E4787819DDCE6
黃柏堯(2011)。電視新聞文字記者資訊行為與資訊焦慮之現象研究(未出版之碩士論文)。國立台灣師範大學，臺北市。
黃富順(2018)。高齡心理學，修訂一版。師大書苑，臺北市。
黃筱晴(2021，12月09日)。LINE台灣用戶年度愛用功能排行榜公開！掃碼功能奪冠。聯合報，取自https://udn.com/news/story/7088/5948801
黃誌坤 (2013)。代間優勢服務方案之成效評估 : 以屏東縣某老人福利機構為例(未出版之碩士論文)。美和科技大學，屏東市。
張力、林翠蓉、侯啟娉 & 謝雅芳 (2016)。社群網路與心理調適關係之研究--以中高齡白領失業者為例。績效與策略研究，13(1)，45-67。
張志成(2014)。不同體型知覺差距之女性有氧舞蹈自我呈現, 社會體型焦慮及運動依賴之關係。人文暨社會科學期刊，2，11-21。
張芬娥、劉冠儀 & 呂莉婷(2021)。3D VR 芳香療法與長者腦波律動之關係。健康生活與成功老化學刊，13(1)，48-59。
張明宜 & 傅仰止(2019)。社群媒體與大學生的網絡界限：伴遊圈、談話圈、接觸圈。台灣社會學，37，1-46。
張重昭、黃麗霞、周宇貞(2006)。消費者個人因素與訊息特性對電子郵件反應行為之影響。管理評論，25(2), 109 – 128。
張思涵(2010)。台灣網路使用者潛水行為之研究-以PTT「網購板」為例 (未出版之碩士論文)。中國文化大學，臺北市。
張惠茹(2015)。旅遊虛擬社群參與者資訊分享及使用行為(未出版之碩士論文)。國立中興大學，台中市。
張偉傑(2009)。網路同步學習環境下人格特質對創造力影響之研究(未出版之碩士論文)。臺灣師範大學，臺北市。
張愛華、曾忠蕙、黃育盈(2012)。資訊超載對網路購物決策之影響—仲介效果之探討。電子商務學報，14(3), 411-440。
陳奇暐(2013)。從生態認知架構理論探討虛擬社群潛水的前置因素(未出版之碩士論文)。朝陽科技大學，台中市。
陳亮恭、林芝安、陳德信(2015)。真逆齡：醫學實證，超越抗老的大智慧。台北市，天下生活。
陳儒晰(2015)。幼教人員網際網路焦慮對教學應用與教學專業態度的影響。數位學習科技期刊，7(2)，1-29。
許天藍(2020)。影響國中導師使用即時通訊軟體進行親師生溝通相關因素之研究(未出版之碩士論文)。臺灣師範大學，臺北市。
許慧雯(2010)。青少年依附、自尊、自我清晰度與社會焦慮之關係探討(未出版之碩士論文)。中原大學，臺北市。
梁記雯、許文耀、洪福建、王韋婷(2012)。社會焦慮者的自傳式記憶：敘事內容與記憶清晰度的分析。中華心理學刊，54(2)，169-184。
曾淑芬(2020)。台灣數位不平等與社會不平等的多重對應分析。台灣社會變遷基本調查計畫。中央研究院社會學研究所，臺北市。
曾淑芬(2009)。電子化政府與網路化社會。研考雙月刊，31(1), 86-92。
游靖芬(2007)。應用於網路安全情境察覺系統之警訊衝突解析模型(未出版之碩士論文)。國立中央大學，桃園市。
游文志(2008)。人格特質，情緒智力，衝突處理型態與工作滿意之相關性研究(未出版之碩士論文)。國立中興大學企業，台中市。
傅仰止、關秉寅、吳齊殷、廖培珊、謝淑惠(2020)。台灣社會變遷基本調查計畫-第七期第五次調查計畫執行報告(科技部計畫編號：MOST107-2420- H-001-003-SS2)。中央研究院社會學研究所，臺北市。
葉乃靜(2020)。後真相時代社群媒體上的假新聞分享行為研究。Journal of Library and Information Science，46(1)，96-112。
劉玉玲(2014)。數位原生與數位移民的網路科技運用。臺灣教育評論月刊，3(7)，4 – 8。
廖敏真(2016)。中高齡者Line使用動機、網路社會支持與幸福感之相關研究(未出版之碩士論文)。國立屏東大學，屏東市。
蔡琰、臧國仁(2012)。老人傳播：理論、研究與教學實例。臺北市：五南圖書。
謝鐵軍(2020)。智慧型手機的學習及使用對高齡者日常生活的影響研究(未出版之碩士論文)。中國文化大學，台北市。
 
貳、英文文獻
Akehurst, S., & Thatcher, J. (2010). Narcissism, social anxiety and self-presentation in exercise. Personality and Individual Differences, 49(2), 130–135.
Akpan, N. (2016). The very real consequences of fake news stories and why your brain can’t ignore them. PBS News Hour. Jan. 29, 2020 retrieved from https://www.pbs.org/newshour/science/real-consequences-fake-news-stories-brain-cant-ignore
Amichai-Hamburger, Y., Wainapel, G., & Fox, S. (2002). " On the Internet no one knows I'm an introvert": Extroversion, neuroticism, and Internet interaction. Cyberpsychology & behavior, 5(2), 125-128.
Amiel, T., & Sargent, S. L. (2004). Individual differences in Internet usage motives. Computers in human behavior, 20(6), 711-726.
Anderson, J. & Raine, L. (2017). The future of truth and misinformation online. Pew Research Centre. Retrieved from http://www.pewInternet.org/2017/10/19/the-future-of-truth-and-misinformation-online/.
Arkin, R. M., Lake, E. A., & Baumgardner, A. H. (1986). Shyness and self-presentation. In shyness (pp. 189-203). US: Springer.
Balthazard, P., Potter, R. E., & Warren, J. (2004). Expertise, extraversion and group interaction styles as performance indicators in virtual teams: how do perceptions of IT's performance get formed?. ACM SIGMIS Database: The Database for Advances in Information Systems, 35(1), 41-64.
Bargh, J. A., McKenna, K. Y., & Fitzsimons, G. M. (2002). Can you see the real me? Activation and expression of the" true self" on the Internet. Journal of social issues, 58(1), 33-48.
Bargh, J. A., & Thein, R. D. (1985). Individual construct accessibility, person memory, and the recall-judgment link: The case of information overload. Journal of personality and Social Psychology, 49(5), 1129.
Batista, J. & Marques, R.P. (2018). Considerations on information and communication overload issue in smart cities. In O. Mealha, M. Divitini & M. Rehm (Eds.), Citizen, territory and technologies: smart learning contexts and practices (pp.129-136). Cham: Springer.
Bawden, D., & Robinson, L. (2020). Information overload: An overview.
Benselin, J.C. & Ragsdell, G. (2015). Information overload: the differences that age makes. Journal of Librarianship and Information Science, 48(3), 284-297.
Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology and Behavior, 8(1), 39–51.
Bienvenu, O.J., Brown, C., Samuels, J.F., Liang, K., Costa, P.T., Eaton, W.W., & Nestadt, G. (2001). Normal personality traits and comorbidity among phobic, panic and major depressive disorders. Psychiatry Research, 102, 73–85. doi:10.1016/S0165-1781(01)00228-1.
Bienvenu, O.J., Nestadt, G., Samuels, J.F., Costa, P.T., Howard, W.T., & Eaton, W.W. (2001). Phobic, panic, and major depressive disorders and the five-factor model of personality. The Journal of Nervous and Mental Disease, 189, 154–161. doi:10.1097/00005053-20010300000003.
Boettcher, S. E., Stokes, M. G., Nobre, A. C., & Van Ede, F. (2020). One thing leads to another: anticipating visual object identity based on associative-memory templates. Journal of Neuroscience, 40(20), 4010-4020.
Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer‐Mediated Communication, 13(1), 210-230.
Bozkurt, A., Koutropoulos, A., Singh, L., & Honeychurch, S. (2020). On lurking: Multiple perspectives on lurking within an educational community. The Internet and Higher Education, 44, 100709.
Braun-LaTour, K. A., Puccinelli, N. M., & Mast, F. W. (2007). Mood, information congruency, and overload. Journal of Business Research, 60(11), 1109-1116.
Bryant, S. L., Forte, A., & Bruckman, A. (2005). Becoming Wikipedian: Transformation of participation in a collaborative online encyclopedia. In Proceedings of the 2005 International ACM SIGGROUP conference on Supporting group work (pp. 1–10) 6–9 November, Sanibel Island, FL. New York: ACM.
Bu, S., Lou, L., & Koh, J. (2021, January). Are Online Parasites Really Different from Lurkers?. In Proceedings of The 54th Hawaii International Conference on System Sciences (p. 421).
Buote, V., Wood, E., & Pratt, M. (2009). Exploring similarities and differences between online and offline friendships: The rold of attachment style. Computers in Human Behavior, 25, 560-567.
Burke, M., Marlow, C., & Lento, T. (2009). Feed me: Motivating newcomer contribution in social network sites. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 945–954), 4–9 April, Boston, MA. New York: ACM.
Butt, S., & Phillips, J. G. (2008). Personality and self-reported mobile phone use. Human Behavior, 24(2), 346–360.
Byron, K., & Baldridge, D. C. (2007). E-mail recipients' impressions of senders' likability: The interactive effect of nonverbal cues and recipients' personality. The Journal of Business Communication, 44(2), 137-160. 10.1177/0021943606297902
Campbell, A. J., Cumming, S. R., & Hughes, I. (2006). Internet use by the socially fearful: Addiction or therapy? CyberPsychology and Behavior, 9, 69–81.
Carpenter-Thompson, J. R., Akrofi, K., Schmidt, S. A., Dolcos, F., & Husain, F. T. (2014). Alterations of the emotional processing system may underlie preserved rapid reaction time in tinnitus. Brain Research, 1567, 28-41.
Carr, N. (2010). The Shallows: how the Internet is changing the way we think. London: Atlantic Books
Case, D. (2007). Looking for information: Asurvey of research on information seeking needs, and behavior (2nd, ed.) San Diego, CA: Academic Press.
Case, D.O. & Given, L.M. (2016). Looking for Information, 4th edn. Bingley: Emerald. 45 Chatman, E.A. (1996). The impoverished life-world of outsiders. Journal of the American Association of Information Science, 47(3), 193-206.
Chen, C. H., Lee, W. P., & Huang, J. Y. (2018). Tracking and recognizing emotions in short text messages from online chatting services. Information Processing and Management, 54, 1325–1344.
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., ... & Zhang, L. (2020). Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The lancet, 395(10223), 507-513.
Choi, T., & Robertson, P. J. (2019). Contributors and free-riders in collaborative governance: A computational exploration of social motivation and its effects. Journal of Public Administration Research and Theory, 29(3), 394-413.
Clark, D. M., & Wells, A.(1995). A cognitive model of social phobia. Social Phobia: Diagnostis, Assessment, and Treatment, 41(68), 00022-3.
Clark, L. A., & Watson, D. (1999). Temperament: a new paradigm for trait psychology. In L. A. Pervin & O. P. John (Eds.), Handbook of Personality: Theory and Research (pp. 399-423). New York, NY: Guilford Press.
Coleman, J. S. (1988). Social capital in the creation of human capital. The American Journal of Sociology 94, 95–120.
Cooke, N.A. (2017). Posttruth, truthiness and alternative facts: information behavior and critical information consumption for a new age. Library Quarterly,87(3), 211-221.
Cornwell, B. R., Alvarez, R. P., Lissek, S., Kaplan, R., Ernst, M., & Grillon, C. (2011). Anxiety overrides the blocking effects of high perceptual load on amygdala reactivity to threat-related distractors. Neuropsychologia, 49(5), 1363-1368.
Correa, T., Hinsley, A. W., & De Zuniga, H. G. (2010). Who interacts on the Web? : The intersection of users’ personality and social media use. Computers in Human Behavior, 26(2), 247-253.
Costa Jr, P. T., & McCrae, R. R. (1992). Four ways five factors are basic. Personality and individual differences, 13(6), 653-665.
Costa, P. T., & McCrae, R. R. (1992). NEO Personality Inventory-Revised (NEO PI-R). Odessa, FL: Psychological Assessment Resources.
Costa, P. T., Jr., & McCrae, R. R. (1992). NEO PI-R professional manual. Odessa, FL: Psychological Assessment Resources Inc.
Costa, P. T., Jr., & McCrae, R. R. (1995). Domains and facets: Hierarchical personality assessment using the revised NEO personality inventory. Journal of Personality Assessment, 64(1), 21–50.
Cullen, R., & Morse, S. (2011, January). Who's contributing: Do personality traits influence the level and type of participation in online communities. In 2011 44th Hawaii International Conference on System Sciences (pp. 1-11). IEEE.
Cuming, S., & Rapee, R. M. (2010). Social anxiety and self-protective communication style lin close relationships. Behavior Research and Therapy, 48(2), 87-96.
Dennen, V. P. (2008). Pedagogical lurking: Student engagement in non-posting discussion behavior. Computers in Human Behavior, 24(4), 1624–1633.
Devaraj, S., Easley, R. F., & Crant, J. M. (2008). Research note—how does personality matter? Relating the five-factor model to technology acceptance and use. Information Systems Research, 19(1), 93-105.
Desjarlais, M., & Willoughby, T. (2010). A longitudinal study of the relation between adolescent boys and girls’ computer use with friends and friendship quality: Support for the social compensation or the rich-get-richer hypothesis? Computers in Human Behavior, 26, 896–905.
Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41(1), 417-440.
Ebeling-Witte, S., Frank, M. L., & Lester, D. (2007). Shyness, Internet use and personality. CyberPsychology and Behavior, 10(5), 713–716.
Edelmann, N. (2013). Reviewing the definitions of “lurkers” and some implications for online research. Cyberpsychology, Behavior & Social Networking, 16(9), 645–649.
Ehrenberg, A., Juckes, S., White, K. M., & Walsh, S. P. (2008). Personality and self-esteem as predictors of young people’s technology use. CyberPsychology and Behavior, 11(6), 739–741.
Elhai, J. D., Yang, H. B., McKay, D., & Asmundson, G. J. G. (2020). COVID-19 anxiety symptoms associated with problematic smartphone use severity in Chinese adults. Journal of Affective Disorders, 274, 576–582. https://doi.org/10.1016/j. jad.2020.05.080
Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook Friends”: Social capital and college students’ use of online social network sites. Jounal of Computer-Mediated Communication, 12(3), 1143-1168.
Erikson, E. H., & Erikson, J. M., & Kivnick, H. Q. (1997). Vital involvement in old age: The experience of old age in our time. W. W. Norton.
Erwin, B. A., Turk, C. L., Heimberg, R. G., Fresco, D. M., & Hantula, D. A. (2004). The Internet: Home to severe population of individuals with social anxiety disorder? Jounal of Anxiety Disorders, 18, 629-646.
Eysenck, H. J. (1990). Biological dimensions of personality.
Eysenck, H. J. (1944). Types of personality: a factorial study of seven hundred neurotics. Journal of Mental Science, 90(381), 851-861.
Feng, Y. & Agosta, D.E. (2017). The experience of mobile information overload:struggling between needs and constraints. Information Research, 22(2), paper 574. Retrieved from http://www.informationr.net/ir/22-2/paper754.html.
Flores, L. (2020). Fake news: Why does it persist and who’s sharing it? The Decision Lab. Jan. 17, 2020 retrieved from https://thedecisionlab.com/fake-news-why- does-it-persist-and-whos-sharing-it
Fogel, J., & Nehmad, E. (2009). Internet social network communities: Risk taking, trust, and privacy concerns. Computers in Human Behavior, 25(1), 153-160.
Gamble, K.R., Cassenti, D.N. & Buchler, N. (2017). Effects of information accuracy and volume on decision making. Military Psychology, 30(4), 311-320.
Garcia, A. C., Standlee, A. I., Bechkoff, J., & Cui, Y. (2009). Ethnographic approaches to the Internet and computer-mediated communication. Journal of contemporary ethnography, 38(1), 52-84
Garfield, E. (1984). Iatrogenic information overload. Journal of Information Science, 8(1), 39.
Ge, X. (2010). Information-seeking behavior in the digital age: a multidisciplinary study of academic researchers. College and Research Libraries, 71(5) 435-455.
Ghiselli, E.E., Campbell, J. P., & Zedeck, S. (1981). Measurement theory for the behavioral sciences. San Francisco: Freeman.
Giesbers, B., Rienties, B., Tempelaar, D., & Gijselaers, W. (2013). Investigating the relations between motivation, tool use, participation, and performance in an e-learning course using web-videoconferencing. Computers in Human Behavior, 29(1), 285–292.
Glinski, K., & Page, A. C. (2010). Modifiability of neuroticism, extraversion, and agreeableness by group cognitive behaviour therapy for social anxiety disorder. Behaviour Change, 27(1), 42.
Goulding, A. (2001). Information poverty or overload. Journal of Librarianship and Information Science, 33(3), 109-111.
Gray, J. A. (1981). A critique of Eysenck’s theory of personality. A model for personality (Eysenck ed.). Springer. https://doi.org/10.1007/978-3-642-67783-0_8
Gross, B. (1964). The managing of organizations: the administrative struggles. New York: Free Press of Glencoe.
Guilford, J. P. (1954). Psychometric methods.
Hafner, K. (2009). To Deal with Obsession, Some Defriend Facebook; The New York Times Company: New York, NY, USA, 2009; Available online: http://www.nytimes.com/2009/12/21/technology /Internet/21facebook.html (2011).
Hair, J. F., Anderson, R. E., Tatham, R.L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). New York: Macmillan.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage.
Hall, H., & Graham, D. (2004). Creation and recreation: motivating collaboration to generate knowledge capital in online communities. International Journal of Information Management, 24(3), 235-246.
Hamburger, Y. A., & Ben-Artzi, E. (2000). The relationship between extraversion and neuroticism and the different uses of the Internet. Computers in Human Behavior, 16, 441–449.
Harari, Y.N. (2017). Homo Deus. A brief history of tomorrow. New York: Vintage.
Hargittai, E., Neuman, W.R. & Curry, O. (2012). Taming the information tide: perceptions of information overload in the American home. Information Society, 28(3), 161-173.
Hartog, P. (2017). A generation of information anxiety: refinements and recommendations. The Christian Librarian, 60(1), 44-55, article 8. Retrieved from https://digitalcommons.georgefox.edu/tcl/vol60/iss1/8/.
Heimberg, R.G., Brozovich, F.A., & Rapee, R.M. (2014). A cognitive-behavioral model of social anxiety disorder. In S.G. Hofmann & P. M. DiBartolo (Eds.), Social anxiety: Clinical, developmental, and social perspectives (pp. 705–728). New York, NY: Elsevier.
Herbig, P. A., & Kramer, H. (1994). The effect of information overload on the innovation choice process. Journal of Consumer Marketing. 11(2), 45–54.
Honeychurch, S., Bozkurt, A., Singh, L., & Koutropoulos, A. (2016). Understanding lurkers in online learning communities. Paper presented in 2016 social media for learning in higher education conference (#SocMedHE16), 16th December 2016 United Kingdom: Sheffield Hallam Universityhttps://goo.gl/CeJ9qA.
Hong, J. C., Hwang, M. Y., Hsu, C. H., Tai, K. H., & Kuo, Y. C. (2015). Belief in dangerous virtual communities as a predictor of continuance intention mediated by general and online social anxiety: The Facebook perspective. Computers in Human Behavior, 48, 663-670.
Horwood, S., & Anglim, J. (2018). Personality and problematic smartphone use: A facet-level analysis using the Five Factor Model and HEXACO frameworks. Computers in Human Behavior, 85, 349-359.
Hwang, M. Y., Hong, J. C., Tai, K. H., Chen, J. T., & Gouldthorp, T. (2020). The relationship between the online social anxiety, perceived information overload and fatigue, and job engagement of civil servant LINE users. Government Information Quarterly, 37(1), 101423.
Indian, M., & Grieve, R. (2014). When Facebook is easier than face-to-face: Social support derived from Facebook in socially anxious individuals. Personality and individual Differences, 59, 102-106.
Inuwa-Dutse, I., Liptrott, M., & Korkontzelos, I. (2018). Detection of spam-posting accounts on Twitter. Neurocomputing, 315, 496-511.
Jelicic, H., Bobek, D. L., Phelps, E., Lerner, R. M., & Lerner, J. V. (2007). Using positive youth development to predict contribution and risk behaviors in early adolescence: Findings from the first two waves of the 4-H Study of Positive Youth Development. International Journal of Behavioral Development, 31(3), 263-273.
Jensen, J. M., & Patel, P. C. (2011). Predicting counterproductive work behavior from the interaction of personality traits. Personality and Individual Differences, 51(4), 466-471.
Joinson, A. N. (2004). Self-esteem, interpersonal risk, and preference for e-mail to face-to-face communication. CyberPsychology & Behavior, 7(4), 472-478.
Jones, S.L. & Kelly, R. (2018). Dealing with information overload in multifaceted personal informatics systems. Human-Computer Interaction, 33(1), 1-48.
Johnson, J.D. (2014). Controlling the flood: when more of a dose is less. Journal of Documentation, 70(3), 330-345.
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 35, 401-405.
Kaplan, S. C., Levinson, C. A., Rodebaugh, T. L., Menatti, A., & Weeks, J. W. (2015). Social anxiety and the big five personality traits: The interactive relationship of trust and openness. Cognitive Behaviour Therapy, 44(3), 212-222.
Kim, H. W., Chan, H. C., & Chan, Y. P. (2007). A balanced thinking-feelings model of information systmes continuance. International Journal of Human-Computer Studies, 65(6), 511-525.
Kim, J. H., Kim, M. S., & Nam, Y. (2010). An analysis of self-construals, motivations, Facebook use, and user satisfaction. Intl. Journal of Human–Computer Interaction, 26(11-12), 1077-1099.
King-Casas, B., Tomlin, D., Anen, C., Camerer, C. F., Quartz, S. R., & Montague, P.R. (2005). Getting to know you: reputation and trust in a two-person economic exchange. Science, 308(5718), 78-83.
Kirsch, D. (2000). A few thoughts on cognitive overload. Intellectica, 30, 19-51.
Kneidinger-Müller, B. (2017), Perpetual mobile availability as a reason for communication overload experiences and coping strategies of smartphone users. In R.P.F. Marques & J. C. L. Batista (Eds.), Information and communication overload in the digital age (pp.93-119). Hershey PA: IGI Global.
Koh, J., Kim, Y. G., Butler, B., & Bock, G. W. (2007). Encouraging participation in virtual communities. Communications of the ACM 50(2), 68–73
Kollock, P., & Smith, M. (1996). Managing the virtual commons. In Susan Herring (Ed.), Computer-mediated communication: Linguistic, Social, and Cross- Cultural Perspectives (pp. 109–128). Amsterdam: John Benjamins.
Kominiarczuk, N. & Ledinska, M. (2014). Turn down the noise: information overload, conscientiousness and their connection to individual well-being. Personality and Individual Differences, 60(supplement 1), article S76, DOI 10.1016/ j.paid.2013.07.343.
Kotov, R., Watson, D., Robles, J.P., & Schmidt, N. B. (2007). Personality traits and anxiety symptoms: the multilevel trait predictor model. Behaviour Research And Therapy, 45, 1485–1503. doi:10.1016/j.brat.2006.11.011
Koutropoulos, A., Honeychurch, S., & Singh, L. (2019). Rethinking Lurking. eLearn, 2019(5).
Kovach, B. & Rosenstiel, T. (2011). Blur - how to know what's true in the age of information overload. New York: Bloomsbury.
Kuhlthau, C.C. (1993). A principle of uncertainty for information seeking. Journal of Documentation, 49(4), 339-355.
Kuss, D. J., & Griffiths, M. D. (2011). Online social networking and addiction—a review of the psychological literature. International Journal of Environmental Research and Public Health, 8(9), 3528-3552.
Kwon, O., & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Computers in Human Behavior, 26(2), 254-263.
Landers, R. N., & Lounsbury, J. W. (2006). An investigation of Big Five and narrow personality traits in relation to Internet usage. Computers in Human Behavior, 22(2), 283-293.
Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51-61.
Lee, B. W., & Stapinski, L. A. (2012). Seeking safety on the Internet: Relationship between social anxiety and problematic Internet use, Journal of Anxiety Disorders, 26(1), 197-205.
Lee, G., Lee, J., & Kwon, S. (2011). Use of social-networking sites and subjective well-being: A study in South Korea. Cyberpsychology, Behavior, and Social Networking, 14(3), 151-155.
Lee, M. & Butler, J. (2019). How are information deserts created? a theory of local information landscapes. Journal of the Association for Information Science and Technology, 70(2), 101-116.
Lee, S., Tam, C. L., & Chie, Q. T. (2014). Mobile phone usage preferences: The contributing factors of personality, social anxiety and loneliness. Social Indicators Research, 118(3), 1205-1228.
Liang, H. & Fu, K-W. (2017). Information overload, similarity and redundancy: unsubscribing information sources on Twitter. Journal of Computer-Mediated Communication, 22(1), 1-17.
Liao W., Qiu C., Gentili C., Walter M., Pan Z., Ding J et al. (2010). Altered Effective Connectivity Network of the Amygdala in Social Anxiety Disorder: A Resting-State fMRI Study. PLoS ONE 5(12): e15238. https://doi.org/10.1371/journal.pone.0015238
Litt, E., & Hargittai, E. (2014). A bumpy ride on the information superhighway: Exploring turbulence online. Computers in Human Behavior, 36, 520–529.
Liu, X., Min, Q., Wu, D., & Liu, Z. (2020). How does social network diversity affect users’ lurking intention toward social network services? A role perspective. Information & Management, 57(7), 103258.
Lundy, B. L., & Drouin, M. (2016). From social anxiety to interpersonal connectedness: Relationship building within face-to-face, phone and instant messaging mediums. Computers in Human Behavior, 54, 271-277.
Maier, C., Laumer, S., Weinert, C., & Weitzel, T. (2015). The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use. Information Systems Journal, 25(3), 275-308. https://doi.org/10.1111/isj.12068.
Malhotra, N. K. (1982). Information load and consumer decision making. Journal of Consumer Research, 8(4), 419-430.
Malinen, S. (2015). Understanding user participation in online communities: A systematic literature review of empirical studies. Computers in Human Behavior, 46, 228–238.
Marriott, H. R., Williams, M. D., & Dwivedi, Y. K. (2017). What do we know about consumer m-shopping behaviour?. International Journal of Retail & Distribution Management.
Matthes, J., Karsay, K., Schmuck, D., & Stevic, A. (2020). “Too much to handle”: Impact of mobile social networking sites on information overload, depressive symptoms, and well-being. Computers in Human Behavior, 105, 106217.
McAndrew, F. T., & Jeong, H. S. (2012). Who does what on Facebook? Age, sex, and relationship status as predictors of Facebook use. Computers in human behavior, 28(6), 2359-2365. https://doi.org/10.1016/j.chb.2012.07.007
McCrae, R. R., & John, O. P. (1992). An introduction to the five‐factor model and its applications. Journal of Personality, 60(2), 175-215.
McCord, B., Roderbaugh, T. L., & Levinsom, C. A. (2014). Facebook: Social uses and anxiety. Computers in Human Behavior, 34, 23-27.
Mckenna, K.Y. A., & Bargh, J. A. (2000). Plan 9 from cyberspace: The implications of the Internet for personality and social psychology. Personality and Social Psychology Review, 5(1), 57-75.
Miller, G.A. (1956). The magic number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 101(2), 343-352.
Mo, P. K., & Coulson, N. S. (2010). Living with HIV/AIDS and use of online support groups. Journal of health psychology, 15(3), 339-350.
Nawaz, M.A., Shah, Z., Nawaz, A., Asmi, F., Hassan, Z. & Raza, J. (2018). Classifying SNS discontinuance intentions. Journal of Cogent Psychology, 5(1), Article 1515584.
Nelson, M.R. (2001). We have the information you want, but getting it will cost you: Being held hostage by information overload. Retrieved from：http://www.acm.org/crossroads/xrds1-1/mnelson.html.
Nielsen, J. (2006). Participation inequality: Encouraging more users to contribute. Retrieved from http://www.nngroup.com/articles/participation-inequality/.
Nonnecke, B., Andrews, D., & Preece, J. (2006). Non-public and public online community participation: Needs, attitudes and behavior. Electronic Commerce Research 6(1), 7–20.
Nonnecke, B., & Preece, J. (2000). Lurker demographics: Counting the silent. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 73-80).
Nonnecke, B., & Preece, J. (2003). Silent participants: Getting to know lurkers better.In C. Lueg & D. Fisher (Eds.), From Usenet to CoWebs: Interacting with social information spaces (pp. 110–132). London: Springer Verlag.
Nonnecke, B., Preece, J., & Andrews, D. (2004). What lurkers and posters think of each other [online community]. In Proceedings of the 37th Annual Hawaii International Conference on System Sciences, 2004. New York: IEEE. doi: 10.1109/HICSS. 2004.1265462
Nov, O., Arazy, O., López, C., & Brusilovsky, P. (2013, April). Exploring personality targeted UI design in online social participation systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 361–370). ACM.
Orchard, L. J., & Fullwood, C. (2010). Current perspectives on personality and Internet use. Social Science Computer Review, 28(2), 155–169.
Ortiz, J., Chih, W. H., & Tsai, F. S. (2018). Information privacy, consumer alienation, and lurking behavior in social networking sites. Computers in Human Behavior, 80, 143-157.
Osatuyi, B. (2015). Is lurking an anxiety-masking strategy on social media sites? The effects of lurking and computer anxiety on explaining information privacy concern on social media platforms. Computers in Human Behavior, 49, 324-332.
O'reilly, T. (2007). What is Web 2.0: Design patterns and business models for the next generation of software. Communications & Strategies, (1), 17.
Ozimek, P., & Bierhoff, H. W. (2016). Facebook use depending on age: The influence of social comparisons. Computers in Human Behavior, 61, 271-279.
Partala, T. (2011). Psychological needs and virtual worlds: Case Second Life. International Journal of Human-Computer Studies, 69(12), 787-800. https://doi.org/10.1016/j.chb.2016.03.034
Pervin, L. A. (1993). Personality：theory and research (6th Ed.). John Wiley & Sons, Inc.
Pierce, T. (2009). Social anxiety and technology: Face-to-face communication versus technological communication among teens. Computers in Human Behavior, 25(6), 1367-1372.
Popovac, M., & Fullwood, C. (2019). The psychology of online lurking. In A. Attrill-Smith, C. Fullwood, M. Keep, & D. J. Kuss (Eds.), The Oxford handbook of cyberpsychology, 285–305. Oxford University Press. https://psycnet.apa.org/record/2019-37368-015
Preckel, K., Kanske, P., & Singer, T. (2018). On the interaction of social affect and cognition: empathy, compassion and theory of mind. Current Opinion in Behavioral Sciences, 19, 1-6.
Preece, J., Nonnecke, B., & Andrews, D. (2004). The top five reasons for lurking: improving community experiences for everyone. Computers in Human Behavior, 20(2), 201-223.
Prensky, M. R. (2010). Teaching digital natives: Partnering for real learning. Corwin press.
Rapee, R. M., & Heimberg, R. G. (1997). A cognitive-behavioral model of anxiety in social phobia. Behaviour Research and Therapy, 35(8), 741-756.
Reid, F. J. M. & Reid, D. J. (2010). The expressi and conversational affordanaces of mobile messaging. Behavior & Information Technology, 29, 3-22.
Rezabek, L. L., & Cochenour, J. J. (1998). Visual cues in computer-mediated communi- cation: Supplementing text with emoticons. Journal of Visual Literacy, 18, 210-215.
Rheingold, H. (1993). The Virtual Community: Homesteading on the Electronic Frontier; MIT: Cambridge, MA, USA.
Rice, L., & Markey, P. M. (2009). The role of extraversion and neuroticism in influencing anxiety following computer-mediated interactions. Personality and Individual Differences, 46(1), 35–39.
Ridings, C., Gefen, D., & Arinze, B. (2006). Psychological barriers: Lurker and poster motivation and behavior in online communities. Communications of the Association for Information Systems, 18(1), 16.
Ridings, C. M., & Gefen, D. (2004). Virtual community attraction: Why people hang out online. Journal of Computer‐Mediated Communication 10(1). doi: 10.1111/j. 1083-6101.2004.tb00229.x
Rienties, B., Tempelaar, D., Van den Bossche, P., Gijselaers, W., & Segers, M. (2009). The role of academic motivation in computer-supported collaborative learning. Computers in Human Behavior 25(6), 1195–1206.
Romero, C., Ventura, S., Zafra, A., & De Bra, P. (2009). Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems. Computers & Education, 53(3), 828-840.
Rose, E. (2010). Continuous partial attention: reconsidering the role of online learning in the age of interruption. Educational Technology, 50(4), 41-46.
Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009). Personality and motivations associated with Facebook use. Computers in Human Behavior, 25(2), 578-586.
Roth, D. A. (2004). Cognitive theories of social phobia. In Social anxiety disorder (pp. 143-157). CRC Press.
Ruppel, E. K. & McKinley, C. J.(2015). Perceptions of Online Mental Health Resources: Exploring Social Compensation and Enhancement. Cyberpsychology, Behavior, and Social Networking, 18(8), 462-467.
Savolainen, R. (2007). Filtering and withdrawing: strategies for coping with information overload in everyday contexts. Journal of Information Science, 33(5), 611-621.
Schlenker, B. R., & Leary, M. R. (1982). Social anxiety and self-presentation: A conceptualization model. Psychological bulletin, 92(3), 641.
Schmitt, D. P., Allik, J., McCrae, R. R., & Benet-Martínez, V. (2007). The geographic distribution of Big Five personality traits: Patterns and profiles of human self- description across 56 nations. Journal of Cross-Cultural Psychology, 38(2), 173- 212.
Schmitt, J.B., Debbeit, C.A & Schneider, F.M. (2018). Too much information? predictors of information overload in the context of online news exposure. Information, Communication and Society, 21(8), 1151-1167
Schneider, A., Von Krogh, G., & Jäger, P. (2013). “What’s coming next?” Epistemic curiosity and lurking behavior in online communities. Computers in Human Behavior, 29(1), 293–303.
Sheldon, P. (2008). The relationship between unwillingness-to-communicate and students Facebook use. Journal of Media Psychology, 20, 60-75.
Shepherd, R. M., & Edelmann, R. J. (2005). Reasons for Internet us and social anxiety. Personality and Indiviadual Differences, 39, 949-958.
Slegers, K., Van Boxtel, M. P., & Jolles, J. (2008). Effects of computer training and Internet usage on the well-being and quality of life of older adults: A randomized, controlled study. The journals of gerontology series B: Psychological Sciences and Social Sciences, 63(3), P176-184.
Spielberger, C. D. (1996). The effects of anxiety on complex learning and acadmic achievement. In C. D. Spielberger (Ed.), Anxiety and Behavior, 3-20. London: Academic Press.
Spurr, J. M., & Stopa, L. (2003). The observer perspective: effects on social anxiety and performance. Behaviour Research and Therapy, 41(9), 1009-1028.
Suler, J. (2004). The online disinhibition effect. Cyberpsychology & behavior, 7(3), 321-326.
Sun, N., Rau, P. P. L., & Ma. L., (2014). Understanding lurkers in online communities: A literature review. Computer in Human Behavior, 38, 110-117.
Technopedia (2011). Social media fatigue: Definition. Retrieved from https://www. techopedia.com/definition/27372/social-media-fatigue.
Thompson, T., Kaminska, M., Marshall, C., & Van Zalk, N. (2019). Evaluation of the social phobia scale and social interaction anxiety scale as assessments of performance and interaction anxiety. Psychiatry Research, 273, 725-731.
Toffler, A. (1970). Future Shock. New York: Bantam Books.
Tonteri, L., Kosonen, M., Ellonen, H. K., & Tarkiainen, A. (2011). Antecedents of an experienced sense of virtual community. Computers in Human Behavior 27, (6), 2215–2223.
Tuten, T. L., & Bosnjak, M. (2001). Understanding differences in web usage: The role of need for cognition and the five factor model of personality. Social Behavior and Personality: An International Journal, 29(4), 391-398.
Van Dijck, J. (2013). The culture of connectivity: A critical history of social media. Oxford: Oxford University Press.
Van Uden-Kraan, C. F., Drossaert, C. H. C., Taal, E., Shaw, B. R., Seydel, E. R., & Van de Laar, M. A. F. J. (2008). Empowering processes and outcomes of participation in online support groups for patients with breast cancer, arthritis, or fibromyalgia. Qualitative Health Research, 18(3), 405–417.
Walkom, G. (2016, October). Virtual reality exposure therapy: To benefit those who stutter and treat social anxiety. In 2016 International Conference on Interactive Technologies and Games (ITAG) (pp. 36-41). IEEE.
Walther, J. B., & Boyd, S. (2002). Attraction to computer-mediated social support. In C. Lin & D. Atkin (Eds.), Communication technology and society: Audience adoption and uses (pp. 153–188). Cresswell: Hampton Press.
Walsh, A. (2012). Mobile information literacy: a preliminary outline of information behaviour in a mobile environment. Journal of Information Literacy, 6(2), 56-69.
Weaver, J. B. (1998). Personality and self-perceptions about communication. In J. C. McCroskey, J. A. Daly, & M. M. Martin (Eds.), Communication and personality: Trait perspectives (pp. 95–117). Cresskill, NJ: Hampton Press.
Wellman, B., & Gulia, M. (1999). The network basis of social support: A network is more than the sum of its ties. In Networks in the Global Village; Wellman, B., Ed.; Westview: Boulder, CO, USA,
Wenzel, A. (2002). Characteristics of close relationships in individuals with social phobia: A prelimimary comparison with non-anxious individuals. In J. A. Harvey & A. Wenzel (Eds.), A clinician’s guide to maintaining and enhancing close relationships (pp. 199-213). Mahwah, NJ: Lawrence Erlaum.
Witmer, D., & Katzman, S. L. (1997). On-line smiles: Does gender make a difference in the use of graphic accents? Journal of Computer-Mediated Communication, 2. Retrieved March 3, 2005, from http://www.ascusc.org/jcmc/vol2/issue4/witmer1.html
Wright, L. T., Cova, B., & Pace, S. (2006). Brand community of convenience products: new forms of customer empowerment–the case “My Nutella The Community”. European journal of marketing.
Wurman, R.S. (1989). Information anxiety. New York: Doubleday.
Yang, X., Li, G., & Huang, S. S. (2017). Perceived online community support, member relations, and commitment: Differences between posters and lurkers. Information & Management, 54(2), 154–165. https://doi.org/10.1016/j.im.2016.05.003.
Yeung, R. C., & Fernandes, M. A. (2019). Social anxiety enhances recognition of task-irrelevant threat words. Acta psychologica, 194, 69-76.
Yeow, A., Johnson, S. L., & Faraj, S. (2006). Lurking: Legitimate or Illegitimate Peripheral Participation? In Proceedings of the International Conference of Information Systems, (ICIS 2006), 10–13 December, Milwaukee, WI.
Zhan, Z., Wei, Q., & Hong, J. C. (2021). Cellphone addiction during the Covid-19 outbreak: How online social anxiety and cyber danger belief mediate the influence of personality. Computers in Human Behavior, 121, 106790.
Zhang, W., & Storck, J. (2001). Peripheral members in online communities. AMCIS 2001 Proceedings, 117.
Zhang, Y., Shi, S., Guo, S., Chen, X., & Piao, Z. (2021). Audience management, online turbulence and lurking in social networking services: A transactional process of stress perspective. International Journal of Information Management, 56, 102233.